Best Analytics Platforms for Small Business - Page 2

How Many Analytics Platforms Products Does G2 Track?

Total Products under this Category: 603

Category Stats (Sep 2026)

  • Average Rating: 4.51/5 (↑0.01 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: BlazeSQL (+2.75%) - Among all products in this category, BlazeSQL recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Analytics Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 29,100+ Authentic Reviews
  • 603+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Analytics Platforms

G2 Grid® for Analytics Platforms plotting products by satisfaction and market presence

Highlighted products: Tableau, Microsoft Power BI, SAS Viya, Alteryx, GoodData.AI, Yellowfin BI, IBM Cognos Analytics, and Looker.

Underlying data: [Grid® JSON](https://www.g2.com/categories/analytics-platforms/grids.json?focus%5B%5D=tableau&focus%5B%5D=microsoft-microsoft-power-bi&focus%5B%5D=sas-sas-viya&focus%5B%5D=alteryx&focus%5B%5D=gooddata-ai&focus%5B%5D=yellowfin-bi&focus%5B%5D=ibm-cognos-analytics&focus%5B%5D=looker&segment=small-business)

Sigma

Sigma is the AI runtime layer for analytics, agents, and apps built on live warehouse data. It is a cloud analytics and business intelligence platform that helps business and technical teams explore live data, build reports and applications, and deploy AI agents directly on a cloud data warehouse, using a familiar spreadsheet interface alongside SQL, Python, and AI. - Analytics: Use Sigma for classic business intelligence workloads like pixel-perfect reporting, embedded analytics, and self-service access to data in an Excel-like interface. Build with AI, spreadsheet functions, SQL, or Python. - Agents: Deploy AI agents that act on live data and run multi-step workflows. Build them with natural language and your choice of enterprise LLM or warehouse AI. - Apps: Build AI Apps for operational work like planning and forecasting, scenario modeling, and approval routing, with writeback and governance automatically configured. Every artifact in Sigma inherits the security, permissions, and row-level access already set in the cloud data warehouse. Because governance is enforced at the source, anything a team builds is IT-approved from the start. Sigma solves a persistent tradeoff in enterprise data work. Business teams typically wait on a central data team to build reports and tools, while ad hoc AI and app-building tools produce work that sits outside IT's control. Sigma removes that tradeoff by keeping analysis, reporting, applications, and agents on live warehouse data under one set of permissions, so non-technical users build what they need while IT keeps a single, auditable system of control. Founded in 2014, Sigma is a privately held company headquartered in San Francisco, with offices in New York, London, and Sydney. More than 2,000 companies trust Sigma, including DoorDash, Blackstone, JPMorgan Chase, and Figma. Sigma is the business intelligence partner of the year for both Snowflake (2023-2026) and Databricks (2025-2026).

Average Rating: 4.4/5.0

Total Reviews: 545

How Do G2 Users Rate Sigma?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.4/10 (Category avg: 8.4/10)
  • Reports Interface: 8.6/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Sigma?

  • Seller: Sigma Computing
  • Company Website:
  • Year Founded: 2014
  • HQ Location: San Francisco, California
  • Twitter: @sigmacomputing
    1,556 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,417 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Customer Success Manager
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 58% Medium, 21% Large

What Do G2 Reviewers Say About Sigma?

AI-generated summary from verified user reviews

Pros
  • Users find Sigma's ease of use refreshing, allowing for quick learning and a straightforward setup process.
  • Users value the user-friendly interface of Sigma, facilitating easy metric management and dashboard creation.
  • Users find that Sigma greatly enhances data handling, streamlining processing and visualization for daily project tasks.
  • Users appreciate the responsive customer support of Sigma, ensuring quick resolution of issues and helpful follow-ups.
  • Users appreciate how Sigma provides clear, interactive visuals for simplifying complex datasets and tracking KPIs.
Cons
  • Users experience slow loading times with Sigma, causing inefficiencies and frustration during use.
  • Users experience slow performance with Sigma, particularly when handling complex tasks or large datasets, causing frustration.
  • Users find the limited customization of Sigma's charts and visualizations to be a drawback in their workflow.
  • Users experience a steep learning curve with Sigma, finding the dashboard building process unintuitive and challenging.
  • Users find Sigma lacks basic features like custom visualizations and flexible formatting, limiting advanced usage.

What Are Recent G2 Reviews of Sigma?

What Are G2 Users Discussing About Sigma?

ThoughtSpot

ThoughtSpot is the Agentic Analytics Platform company for the enterprise. With natural language and AI, ThoughtSpot empowers everyone in an organization to ask data questions, get answers, and take action. Code-first for data teams and code-free for business users, ThoughtSpot is intuitive enough for anyone to use, yet built to handle large, complex cloud data at scale. Customers like Coca-Cola, Hilton Worldwide, and Capital One are unlocking the full potential of their data with ThoughtSpot.

Average Rating: 4.4/5.0

Total Reviews: 327

How Do G2 Users Rate ThoughtSpot?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.6/10 (Category avg: 8.4/10)
  • Reports Interface: 8.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind ThoughtSpot?

  • Seller: ThoughtSpot
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Mountain View, CA
  • Twitter: @thoughtspot
    10,975 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,738 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Large, 42% Medium

What Do G2 Reviewers Say About ThoughtSpot?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of ThoughtSpot, finding it simple to create insights and build visuals.
  • Users value the real-time insights from ThoughtSpot, enhancing organizational growth through accurate and actionable data analysis.
  • Users value ThoughtSpot for its powerful analytics capabilities that enhance data insights and engagement tracking.
  • Users praise the intuitive interface of ThoughtSpot, enabling effortless data exploration and insights for everyone.
  • Users appreciate the excellent data visualization capabilities of ThoughtSpot, making insights easy to understand and validate.
Cons
  • Users acknowledge a steep learning curve for new features, particularly for those unfamiliar with analytics or data visualization.
  • Users note the missing features in ThoughtSpot, such as limited reusability and underwhelming visualization capabilities.
  • Users find the complexity of ThoughtSpot frustrating, with formulas failing and a lack of intuitive guidance.
  • Users face a learning difficulty with ThoughtSpot, finding it non-intuitive and lacking clear guidance for effective use.
  • Users find the limited customization options in ThoughtSpot restrictive, impacting their ability to tailor visualizations effectively.

What Are Recent G2 Reviews of ThoughtSpot?

What Are G2 Users Discussing About ThoughtSpot?

Domo

Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI across their business. Built for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks to help teams turn governed data into AI-powered agents, apps, workflows, and analytics. Domo is built on three layers. The data foundation connects and governs data across cloud data platforms and business systems. The activation layer enables organizations to build AI agents, apps, workflows, automations, and dashboards on top of that foundation. The distribution layer delivers intelligence where work happens through embedded apps, mobile, dashboards, and AI assistants using Model Context Protocol (MCP). Governance underpins every layer, helping organizations scale AI and data products with security and trust. Key capabilities include: - Connecting and governing data across cloud data platforms and enterprise applications. - Building AI agents, apps, workflows, automations, dashboards, and analytics. - Delivering data and AI through dashboards, embedded apps, AI assistants, and AI agents. - Supporting both low-code and pro-code development for business and technical teams. - Applying governance, security, and access controls across data and AI. Organizations use Domo for AI agents, apps, and workflows, as well as business intelligence, operational analytics, embedded analytics, and executive reporting. By combining governed data, AI activation, app development, and distribution in a single platform, Domo helps organizations build and scale trusted data products across the enterprise.

Average Rating: 4.3/5.0

Total Reviews: 1,069

How Do G2 Users Rate Domo?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.9/10 (Category avg: 8.4/10)
  • Reports Interface: 8.5/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Domo?

  • Seller: Domo
  • Company Website:
  • Year Founded: 2010
  • HQ Location: American Fork, UT
  • Twitter: @Domotalk
    63,513 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Medium, 28% Large

What Do G2 Reviewers Say About Domo?

AI-generated summary from verified user reviews

Pros
  • Users find Domo's ease of use and intuitive design invaluable for managing data efficiently and effectively.
  • Users value the flexible and user-friendly data visualization capabilities of Domo, enhancing their data analysis experience significantly.
  • Users find Domo's intuitive design empowering, facilitating easy access and effective data visualization for all skill levels.
  • Users praise Domo for its easy integrations, streamlining data management and enhancing real-time collaboration across various platforms.
  • Users value Domo's seamless integration capabilities, enabling efficient data management and real-time insights from various sources.
Cons
  • Users find the learning curve steep, often needing dedicated resources to manage updates and functionalities effectively.
  • Users report missing features in Domo, including flexibility in pivot charts and dynamic column options.
  • Users face significant data management issues with Domo, including unreliable connectors and challenging reporting functionality.
  • Users find Domo expensive, especially with drastic price increases that strain budgets and erode client trust.
  • Users find Domo's complexity hinders flexibility and speed in dataset management, making changes challenging and time-consuming.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

Coefficient

Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets.

Average Rating: 4.7/5.0

Total Reviews: 199

How Do G2 Users Rate Coefficient?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.2/10)
  • Reports Interface: 10.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Coefficient?

  • Seller: Coefficient
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Palo Alto, CA
  • Twitter: @coefficient_io
    346 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    70 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Medium, 35% Small

What Do G2 Reviewers Say About Coefficient?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Coefficient, enjoying seamless data extraction and hassle-free synchronization across tools.
  • Users value the automation capabilities of Coefficient, making data management effortless and efficient.
  • Users appreciate the seamless integrations of Coefficient, enabling effortless data flow between systems like Salesforce and QuickBooks.
  • Users find easy integrations with Coefficient seamless, enhancing productivity and simplifying their data workflow considerably.
  • Users value the time-saving automation of Coefficient, reclaiming hours in their weekly reporting tasks.
Cons
  • Users find the feature limitations of Coefficient frustrating, particularly with filtering and integration challenges.
  • Users find the limited filtering options in Coefficient restrictive and detrimental to their data analysis experience.
  • Users find the missing features in Coefficient limiting, especially with filters and integrating charts from SFDC.
  • Users find the limit of Google Sheets for multiple filters and imports restricts their data management capabilities.
  • Users face integration issues with Coefficient, leading to frustrating limitations when connecting to other tools and systems.

What Are Recent G2 Reviews of Coefficient?

HockeyStack

HockeyStack connects every data source across your go-to-market motion and turns scattered marketing and sales data into clear answers about what drives revenue, and the actions to double down on it. Key capabilities include: Odin (AI Analyst): Ask questions in plain English and get instant analysis, the reasoning behind the numbers, and recommended next steps, plus automated insights on your key metrics with no dashboards to build. Attribution Reporting: Out-of-the-box dashboard templates from day one, then custom no-code reports across 9 attribution models, showing the campaigns and channels driving pipeline from first impression to closed-won. Lift Reporting: Measure the true incremental impact of every campaign, so you know what actually caused revenue rather than what just appeared in the journey. Buyer Journeys: See every interaction in one time-stamped view from first touch to close, powered by cookieless tracking that captures the full journey. Account Intelligence & ABM/ABX: Identify anonymous visitors, build target lists with first- and third-party intent, run ads, and sync it all to your CRM, backed by best-in-class account and lead scoring. Achieve defensible attribution, more efficient growth, and confident budget decisions, without code or an analyst queue. Get started with HockeyStack today!

Average Rating: 4.4/5.0

Total Reviews: 80

How Do G2 Users Rate HockeyStack?

  • Has the product been a good partner in doing business?: 9.5/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.9/10 (Category avg: 8.4/10)
  • Reports Interface: 9.1/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.4/10 (Category avg: 8.5/10)

Who Is the Company Behind HockeyStack?

  • Seller: HockeyStack
  • Company Website:
  • Year Founded: 2021
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    66 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 62% Medium, 34% Small

What Do G2 Reviewers Say About HockeyStack?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use of HockeyStack, praising its simple setup and seamless integrations for analytics.
  • Users commend HockeyStack's exceptional support team for their thorough and timely responses to all inquiries.
  • Users praise the unprecedented customer support from HockeyStack, highlighting timely and thorough responses to all inquiries.
  • Users value the attribution accuracy of HockeyStack, enabling clear insights into marketing performance and effectiveness.
  • Users appreciate the flexibility and detailed insights of HockeyStack, enhancing their marketing campaign performance analysis.
Cons
  • Users find the complexity of HockeyStack can lead to a learning curve, but support is readily available.
  • Users note a difficult learning process with HockeyStack, requiring significant time investment to master its features.
  • Users find the learning curve challenging, especially for beginners lacking experience with attribution tools.
  • Users find reporting confusing due to complex data structure and a steep learning curve for effective usage.
  • Users note a steep learning curve with HockeyStack, but find it manageable with guidance and resources available.

What Are Recent G2 Reviews of HockeyStack?

What Are G2 Users Discussing About HockeyStack?

Knowi

Knowi is the Agentic Analytics Platform. It unifies data from anywhere, adds a governed semantic layer, and deploys AI agents that analyze, monitor, and act on live business data. Traditional BI tools bolt AI onto dashboards. Knowi was built AI-first. The semantic layer defines your metrics, dimensions, and business logic once across every source, so dashboards, queries, and AI agents all reason from the same source of truth. Agents then run continuously: they monitor KPIs, detect anomalies, investigate root causes, and alert your team without anyone opening a dashboard. Connect 70+ sources natively: SQL, NoSQL (MongoDB, Elasticsearch, InfluxDB), REST APIs, cloud warehouses, SaaS applications, and documents. Query and join across them live, with no ETL and no data movement, so teams go from raw data to answers 10X faster. What you get - Semantic layer: governed metric and business-logic definitions across every source - Agentic AI: autonomous monitoring, anomaly detection, root-cause analysis, natural language analytics, AI-generated dashboards - Multi-source analytics: SQL + NoSQL + APIs + docs in one query, no warehouse required - Embedded analytics: white-labeled, multi-tenant dashboards with row-level security inside your own product - Knowi Apps: dashboards inform, apps let you act. Turn a plain-English workflow into a governed web app so users investigate, decide, and take the next step without leaving the experience - Private AI and deployment control: cloud, on-premise, or hybrid. Bring your own LLM, or run Knowi Private AI so no third-party model ever sees your data Enterprise-grade by default: SOC 2 Type II, HIPAA, GDPR, SSO, role-based access, encryption in transit and at rest, full audit logging. Trusted by teams at Lockheed Martin, Verizon, Tata, Paramount, Infosys, and Autodesk. Teams can connect their first sources and build live dashboards within days, not quarters.

Average Rating: 4.9/5.0

Total Reviews: 28

How Do G2 Users Rate Knowi?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 9.2/10)
  • Steps to Answer: 9.3/10 (Category avg: 8.4/10)
  • Reports Interface: 9.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 9.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Knowi?

  • Seller: Knowi
  • Year Founded: 2015
  • HQ Location: Oakland, California
  • Twitter: @knowico
    2,636 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    23 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 46% Small, 39% Medium

What Do G2 Reviewers Say About Knowi?

AI-generated summary from verified user reviews

Pros
  • Users value the exceptional customer support at Knowi, appreciating their responsiveness and tailored guidance throughout the onboarding process.
  • Users commend Knowi for its exceptional onboarding and proactive support, enhancing business growth and adapting to unique needs.
  • Users highlight Knowi's exceptional AI capabilities that enhance data analytics and reporting, ensuring a tailored experience.
  • Users appreciate the automation capabilities of Knowi, greatly simplifying data management and enhancing reporting efficiency.
  • Users appreciate the intuitive dashboarding features of Knowi, which simplify data management and save valuable time.
Cons
  • Users find the learning curve steep for Knowi, making initial setup challenging for advanced features and API connections.
  • Users feel there is a lack of guidance for API connections with popular platforms, complicating initial setup.
  • Users find a lack of tutorials for API connections, leading to a challenging setup experience with Knowi.

What Are Recent G2 Reviews of Knowi?

Cube

Cube is the agentic analytics platform — built on a semantic layer. Cube is the AI-native generation of business intelligence. It's one platform for two use cases: internal BI, where data teams and business users analyze their own company's data, and embedded analytics, where software companies ship analytics inside their own products. The same governed semantic layer powers both. What makes AI answers trustworthy in production is the semantic layer underneath them. Cube was built around the semantic layer from day one rather than retrofitting one onto a dashboard- or notebook-first tool. The data team's governed metric definitions stay intact while AI constructs ad-hoc calculations on top of them — so you get governance and flexibility at the same time, not one at the expense of the other. That's why teams like Brex chose Cube to power AI-driven analytics at production scale. With Cube, data teams can: Model metrics and business definitions once, in a SQL-first semantic layer, and serve them consistently to every downstream consumer — AI agents, BI, spreadsheets, and embedded apps. Let business users ask questions in natural language through Analytics Chat, with answers grounded in the governed model instead of guessed from raw tables. Bring analytics to where people already work — Slack, and any MCP-compatible agent like Claude or ChatGPT via the Cube MCP server. Embed analytics in customer-facing products with multi-tenancy, row-level security, and query performance under load — choosing from a chat API, drop-in iframes, embedded creator mode, or data APIs. Apply software engineering best practices to analytics: version control with Git, CI/CD, isolated environments, and pre-aggregation caching for fast queries and lower warehouse spend. Cube Core, the open-source semantic layer at its foundation, has years of production use across a large developer community — battle-tested infrastructure that commercial-only tools can't match. Cube sits on top of your cloud data warehouse (Snowflake, BigQuery, Redshift, Databricks); it doesn't replace it.

Average Rating: 4.5/5.0

Total Reviews: 27

How Do G2 Users Rate Cube?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.9/10 (Category avg: 8.4/10)
  • Reports Interface: 9.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Cube?

  • Seller: Cube
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco, CA
  • Twitter: @the_cube_dev
    2,215 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    53 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 52% Small, 37% Medium

What Do G2 Reviewers Say About Cube?

AI-generated summary from verified user reviews

Pros
  • Users find Cube's ease of use remarkable, simplifying development and maintenance for small teams without DevOps support.
  • Users value the customization options in Cube, enhancing flexibility for embedded analytics in applications.
  • Users value the powerful BI capabilities of Cube, facilitating complex metrics and seamless data access across platforms.
  • Users appreciate the fast and proactive customer support of Cube, enhancing their overall experience significantly.
  • Users value the flexibility of CubeJS, enabling effortless integration and customization for diverse data applications.
Cons
  • Users find Cube's features lacking completeness, particularly with integration, metrics creation, and data visualization capabilities.
  • Users report experiencing significant bugs and confusing documentation that complicate using Cube effectively and reliably.
  • Users find data integration challenging due to issues with BI tools and complicated pre-aggregation management.
  • Users find Cube's features limited, desiring improved documentation, SDK support, and enhanced analytical capabilities.
  • Users often encounter software bugs that complicate functionality and make integration challenging with Cube.

What Are Recent G2 Reviews of Cube?

SAP Analytics Cloud

With the SAP Analytics Cloud solution, you can bring together analytics and planning with unique integration to SAP applications and smooth access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help you make decisions without doubt.

Average Rating: 4.2/5.0

Total Reviews: 748

How Do G2 Users Rate SAP Analytics Cloud?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.0/10 (Category avg: 8.4/10)
  • Reports Interface: 8.3/10 (Category avg: 8.8/10)
  • Calculated Fields: 7.9/10 (Category avg: 8.5/10)

Who Is the Company Behind SAP Analytics Cloud?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP

Who Uses This Product?

  • Who Uses This: Senior Consultant, Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 49% Large, 28% Medium

What Do G2 Reviewers Say About SAP Analytics Cloud?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in SAP Analytics Cloud, simplifying data understanding for everyday tasks and decision-making.
  • Users value the powerful data analysis capabilities of SAP Analytics Cloud for its seamless integration and advanced planning features.
  • Users value the strong visualization capabilities of SAP Analytics Cloud, enhancing data storytelling and stakeholder communication.
  • Users value the powerful integration and predictive modeling capabilities of SAP Analytics Cloud for efficient project management.
  • Users value the easy integrations of SAP Analytics Cloud, allowing seamless connectivity and enhanced collaboration across tools.
Cons
  • Users experience slow performance with large datasets, affecting efficiency and user satisfaction in SAP Analytics Cloud.
  • Users face a steep learning curve in SAP Analytics Cloud that can hinder effective usage without proper training.
  • Users face a steep learning curve with SAP Analytics Cloud, requiring training to navigate its advanced features effectively.
  • Users often face performance issues with SAP Analytics Cloud, particularly when handling large datasets and complex calculations.
  • Users note that handling large datasets can slow down performance, impacting their overall experience with SAP Analytics Cloud.

What Are Recent G2 Reviews of SAP Analytics Cloud?

What Are G2 Users Discussing About SAP Analytics Cloud?

Dataiku

Dataiku is the Platform for AI Success: the AI orchestration layer where enterprises build, deploy, and govern analytics, models, and agents at scale. It sits on top of the data platforms, clouds, and AI services you already use, working across all of them without locking you into any one. Dataiku expands who can build production AI, putting the right tools in the hands of data scientists and domain experts alike, from fraud analysts to demand planners. It orchestrates machine learning, rules, LLMs, and agents as one governed system, built on more than a decade of running production AI. Governance is part of the build rather than something bolted on afterward, so teams ship faster while keeping performance, cost, and risk under control. The result: AI that moves from experimentation to trusted, measurable execution now, not in 18 months.

Average Rating: 4.4/5.0

Total Reviews: 218

How Do G2 Users Rate Dataiku?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.8/10 (Category avg: 8.4/10)
  • Reports Interface: 7.8/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Dataiku?

  • Seller: Dataiku
  • Company Website:
  • Year Founded: 2013
  • HQ Location: New York, NY
  • Twitter: @dataiku
    22,917 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,605 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Scientist, Data Analyst
  • Top Industries: Financial Services, Pharmaceuticals
  • Company Size: 59% Large, 23% Medium

What Do G2 Reviewers Say About Dataiku?

AI-generated summary from verified user reviews

Pros
  • Users find Dataiku easy to use, simplifying ML development and helping detect opportunities and risks effortlessly.
  • Users appreciate how Dataiku simplifies ML development, enabling quick training, evaluation, and understanding of data easily.
  • Users value the ease of use in Dataiku, enabling collaboration and simplifying complex data processes for all skill levels.
  • Users appreciate the easy integrations of Dataiku, facilitating collaboration across diverse analytics tools and skill sets.
  • Users commend the productivity improvement brought by Dataiku’s visual recipes and robust tools for analytics projects.
Cons
  • Users find the learning curve steep, making it challenging for beginners to fully utilize Dataiku's advanced features.
  • Users find the steep learning curve challenging, especially for beginners navigating Dataiku's advanced features.
  • Users face slow performance with Dataiku when managing large datasets, impacting efficiency and productivity.
  • Users find the difficult learning curve challenging for beginners, impacting their ability to maximize the platform's potential.
  • Users find the pricing high for small companies and students, impacting accessibility for basic projects.

What Are Recent G2 Reviews of Dataiku?

What Are G2 Users Discussing About Dataiku?

datapine

datapine is a business intelligence & dashboarding platform that is focused on self-service, but also offers advanced analytics features such as predictive analytics or intelligent data alerts based on artificial intelligence and machine learning. With a few clicks, datapine integrates dozens of data sources such as databases, flat files, marketing analytics, social media data, CRM, and ERP data as well as helpdesk data. Thanks to an intuitive user interface, users of all skill levels can visualize and make sense of complex data by asking important questions and receiving answers immediately. The core of the product are dynamic, interactive business dashboards, that help to share insights within the organization effectively. datapine enables managers to data scientists to explore, visualize, analyze and report data in one central analytics platform and empowers modern, KPI driven businesses to grow further. datapine is a RIB Software GmbH solution.

Average Rating: 4.6/5.0

Total Reviews: 26

How Do G2 Users Rate datapine?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.2/10)
  • Steps to Answer: 10.0/10 (Category avg: 8.4/10)
  • Reports Interface: 10.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind datapine?

  • Seller: RIB Software
  • Year Founded: 1961
  • HQ Location: Stuttgart, DE
  • Twitter: @RIB_Global
    1,214 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,426 employees on LinkedIn®
  • Ownership: ETR:RIB

Who Uses This Product?

  • Company Size: 50% Medium, 42% Small

What Are Recent G2 Reviews of datapine?

Strategy One (formerly MicroStrategy ONE)

🚀 Strategy One – the AI+BI Platform for Enterprise Analytics at Scale What is Strategy One? Strategy One is the enterprise AI + BI platform that powers data-driven decision-making at scale. Built for complex enterprises, it unifies business intelligence, advanced analytics, and governed data modeling into a single, open platform. With native AI-powered workflows, pixel-perfect dashboards, modern self-service tools, and seamless integrations with Excel, Power BI, and Tableau, Strategy One delivers trusted insights wherever decisions are made. Why Strategy One? Unlike fragmented BI stacks or limited legacy tools, Strategy One provides an end-to-end platform with one trusted semantic core. Business users get governed self-service. Analysts get powerful modeling tools. Executives get real-time answers they can trust. And IT retains full control over data access, definitions, and lineage. Whether you’re creating executive dashboards, deploying embedded analytics, scaling AI copilots, or consolidating BI tools—Strategy One meets the moment with: ✅ Cloud-native architecture ✅ Open integrations with 200+ data sources ✅ Enterprise-grade security and governance ✅ Industry-leading performance and scale ✅ Built-in support for AI copilots, agents, and models Strategy One is trusted by global enterprises in banking, retail, healthcare, and government to turn data into decisions—fast, securely, and at scale.

Average Rating: 4.2/5.0

Total Reviews: 529

How Do G2 Users Rate Strategy One (formerly MicroStrategy ONE)?

  • Has the product been a good partner in doing business?: 7.7/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.5/10 (Category avg: 8.4/10)
  • Reports Interface: 8.2/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Strategy One (formerly MicroStrategy ONE)?

Who Uses This Product?

  • Who Uses This: Business Intelligence Developer, Manager
  • Top Industries: Retail, Financial Services
  • Company Size: 62% Large, 29% Medium

What Do G2 Reviewers Say About Strategy One (formerly MicroStrategy ONE)?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use in Strategy One enhances data management and visualization, streamlining their workflow effectively.
  • Users value the commitment to innovation in Strategy One, enhancing functionality and keeping it ahead of competitors.
  • Users find the easy setup of Strategy One to be straightforward, enhancing their overall experience with the platform.
  • Users appreciate the customization capabilities of Strategy One, enabling quick and flexible report and dashboard creation.
  • Users value the flexible dashboard customization in Strategy One, enabling easy access to comprehensive data insights.
Cons
  • Users find the learning difficulty of Strategy One overwhelming, with notable challenges for both technical and end users.
  • Users find the product has a steep learning curve, requiring significant training and adjustments to master effectively.
  • Users find the Copilot integration lacking and face issues with slow service and data management difficulties.
  • Users find the complex usage of Strategy One challenging, citing a steep learning curve and integration issues with Excel.
  • Users find access restrictions frustrating, needing the enterprise version for better availability and customization options.

What Are Recent G2 Reviews of Strategy One (formerly MicroStrategy ONE)?

What Are G2 Users Discussing About Strategy One (formerly MicroStrategy ONE)?

Altair AI Studio

Altair AI Studio (formerly RapidMiner Studio) is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an organization. Altair AI Studio includes: - Full generative AI functionality with access to hundreds of large language models (LLMs). - Intuitive and powerful drag-and-drop canvases that give users code-like control without complexity. - Award-winning auto ML with automated clustering, predictive modeling, feature engineering, and time series forecasting. - Data connectivity, exploration, and preparation. - Deploy and manage AI projects and models at enterprise scale. - Collaborate with team members in the same environment without having to worry about overwriting each other's work. - Unify the entire data science lifecycle from data exploration and machine learning to model operations and visualization and deploy in the cloud. Altair AI Studio helps users make powerful insights accessible to the entire organization and can scale seamlessly for users and enterprises. Altair AI studio enables organizations to derive significant value from AI with minimal cost and operational impact.

Average Rating: 4.6/5.0

Total Reviews: 506

How Do G2 Users Rate Altair AI Studio?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.5/10 (Category avg: 8.4/10)
  • Reports Interface: 8.9/10 (Category avg: 8.8/10)
  • Calculated Fields: 7.5/10 (Category avg: 8.5/10)

Who Is the Company Behind Altair AI Studio?

  • Seller: Altair
  • Company Website:
  • Year Founded: 1985
  • HQ Location: Troy, MI
  • LinkedIn® Page: www.linkedin.com
    2,630 employees on LinkedIn®
  • Ownership: NASDAQ:ALTR

Who Uses This Product?

  • Who Uses This: Student, Professor
  • Top Industries: Higher Education, Education Management
  • Company Size: 42% Small, 31% Large

What Do G2 Reviewers Say About Altair AI Studio?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Altair AI Studio, finding its interface intuitive and beneficial for data tasks.
  • Users value the no-code machine learning capabilities of Altair AI Studio, facilitating easy model creation and analysis.
  • Users value the seamless AI integration of Altair AI Studio, enhancing decision-making and improving efficiency across organizations.
  • Users appreciate the advanced machine learning and data analytics in Altair AI Studio for smarter decision-making and efficiency.
  • Users value the automation capabilities of Altair AI Studio, enhancing efficiency in data processing and decision making.
Cons
  • Users find the complexity of Altair AI Studio challenging, particularly with language support and integrating legacy systems.
  • Users experience slower performance when handling large datasets in Altair AI Studio, affecting their efficiency and experience.
  • Users experience slow performance when handling large datasets, leading to slowdowns or freezing during usage.
  • Users find the complexity issues of Altair AI Studio frustrating, especially due to limited support resources.
  • Users find the complex usage of Altair AI Studio challenging, especially due to limited documentation and steep learning curve.

What Are Recent G2 Reviews of Altair AI Studio?

What Are G2 Users Discussing About Altair AI Studio?

Bold BI

Bold BI® by Syncfusion® is a modern, flexible analytics platform that empowers everyone—from business users to developers—to turn raw data into meaningful insights, fast. Whether you're embedding analytics into your application or building dashboards from scratch, Bold BI makes it easy to deliver powerful, interactive data experiences without compromising on performance or security. With an intuitive no-code, drag-and-drop interface, even non-technical users can create stunning dashboards in minutes. Meanwhile, developers enjoy deep customization through robust APIs, SDKs, and white-labeling options, making it simple to integrate analytics seamlessly into any application. With support for 130+ data sources, including Microsoft SQL Server, Azure SQL Data Warehouse, Oracle, REST APIs, Bold Datahub, and more, Bold BI offers unmatched data flexibility and connectivity. Designed for secure, scalable deployments, the platform’s multi-tenant architecture and enterprise-grade security features single sign-on (SSO) via OAuth2 and OpenID and role-based access control to ensure data protection and simplified user management. Real-time dashboard sharing, scheduled alerts, and export options make collaboration effortless, helping teams stay aligned and make faster, data-driven decisions. Backed by Syncfusion, Bold BI offers end-to-end expert support, ideal for organizations looking to scale their analytics. Customers benefit from 24/5 assistance through free scheduled support calls, live chat, and email—from onboarding to full implementation. NOTE: Older reviews may reference the historical product name, "Syncfusion Dashboard Platform."

Average Rating: 4.4/5.0

Total Reviews: 89

How Do G2 Users Rate Bold BI?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.9/10 (Category avg: 8.4/10)
  • Reports Interface: 8.4/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Bold BI?

  • Seller: Syncfusion
  • Company Website:
  • Year Founded: 2001
  • HQ Location: Morrisville, North Carolina
  • Twitter: @Syncfusion
    11,907 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,741 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 51% Small, 32% Medium

What Do G2 Reviewers Say About Bold BI?

AI-generated summary from verified user reviews

Pros
  • Users highlight the exceptional customer support from Bold BI, noting quick resolutions and expert guidance throughout the process.
  • Users value the ease of use of Bold BI, enjoying a seamless experience for all skill levels.
  • Users value the easy integration with numerous data sources, enhancing their analytics capabilities effortlessly.
  • Users praise the drag-and-drop dashboard customization, enabling quick and impressive dashboard creation without coding skills.
  • Users value the seamless embedding capabilities of Bold BI, facilitating integration within various applications and portals.
Cons
  • Users frequently encounter bugs with Bold BI, particularly evident during version updates and when using Docker and Kubernetes.
  • Users find the learning curve steep, requiring technical knowledge and tutorials for effective setup and usage.
  • Users find the difficult setup of Bold BI time-consuming, requiring tutorials and technical knowledge for advanced features.
  • Users report encountering numerous software bugs in Bold BI, especially during updates and with Docker and Kubernetes integrations.
  • Users note the dashboard issues with lengthy setup times and a complex learning curve for advanced features.

What Are Recent G2 Reviews of Bold BI?

What Are G2 Users Discussing About Bold BI?

Sisense

Sisense is an API-first analytics platform that modernizes businesses by seamlessly integrating in-context analytics within applications, leading to action-oriented insights that enhance decision intelligence.

Average Rating: 4.2/5.0

Total Reviews: 987

How Do G2 Users Rate Sisense?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.7/10 (Category avg: 8.4/10)
  • Reports Interface: 8.3/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Sisense?

  • Seller: Sisense, Inc.
  • Company Website:
  • Year Founded: 2004
  • HQ Location: New York
  • Twitter: @Sisense
    6,543 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    534 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Product Manager
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 57% Medium, 24% Small

What Do G2 Reviewers Say About Sisense?

AI-generated summary from verified user reviews

Pros
  • Users find Sisense's ease of use exceptional, facilitating clear data visualization and seamless integration for better insights.
  • Users appreciate Sisense's easy dashboard and widget creation, enhancing data insights and user-friendly visualizations.
  • Users value the seamless integrations of Sisense, allowing for efficient data management and user-friendly analytics across platforms.
  • Users praise the amazing customer support of Sisense, highlighting their quick response and effective assistance.
  • Users value the extensive dashboard customization in Sisense, enabling tailored data visualization and improved insights.
Cons
  • Users experience a steep learning curve in implementing Sisense, making setup challenging, especially for the less technical.
  • Users note the missing features in Sisense, including limited query capabilities and insufficient visualization options.
  • Users find Sisense buggy and visually unappealing, with unreliable customer support and CI/CD issues affecting their operations.
  • Users find dashboard setup tedious and complicated, requiring extensive technical knowledge and design skills for effective use.
  • Users find limited customization in Sisense dashboards, making it challenging for non-technical users to optimize their experience.

What Are Recent G2 Reviews of Sisense?

What Are G2 Users Discussing About Sisense?

Qlik Sense

Qlik Sense empowers people to make better data-driven decisions and take action. The solution provides augmented analytics for every business need from visualization and dashboards to natural language analytics, custom and embedded analytics, reporting and alerting. Our unique associative technology enhances human intuition with AI-powered insights, offering unmatched capabilities for combining data and exploring information. It indexes the associations in your data, and exposes related and unrelated values as you click, revealing hidden insights that would be missed by query-based tools. And it performs calculations as fast as you can think. Qlik Sense helps users move from passive to active analytics for real-time collaboration and action. And you get robust data integration, application automation and the convenience of SaaS with hybrid multi-cloud capabilities. See why we’ve been named a Gartner Magic Quadrant Leader for Analytics and BI platforms for 11 years in a row. Visit us at https://www.qlik.com/us/

Average Rating: 4.4/5.0

Total Reviews: 762

How Do G2 Users Rate Qlik Sense?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.3/10 (Category avg: 8.4/10)
  • Reports Interface: 8.4/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Qlik Sense?

  • Seller: Qlik
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • Twitter: @qlik
    64,130 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,399 employees on LinkedIn®
  • Phone: 1 (888) 994-9854

Who Uses This Product?

  • Who Uses This: Consultant, Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 41% Large, 41% Medium

What Do G2 Reviewers Say About Qlik Sense?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use in Qlik Sense, enhancing their productivity with minimal IT support needed.
  • Users commend the robust data visualization capabilities of Qlik Sense, enhancing insights with its user-friendly interface.
  • Users appreciate the rapid development capabilities of Qlik Sense, enabling quick creation and deployment of analytics applications.
  • Users value the robust data visualization capabilities of Qlik Sense, enhancing their insights and business strategies.
  • Users value the versatile and user-friendly tools in Qlik Sense, enhancing data representation and insights across levels.
Cons
  • Users find the limited features of Qlik Sense restrict their ability to create custom visualizations effectively.
  • Users find the missing features in Qlik Sense restrictive, particularly lacking personal object additions and static report options.
  • Users find Qlik Sense expensive, which limits its accessibility despite its capabilities.
  • Users note the limited automation in data updates and desire better organization and visualization capabilities in Qlik Sense.
  • Users find the learning curve steep, especially with scripting functions and integration challenges for beginners.

What Are Recent G2 Reviews of Qlik Sense?

What Are G2 Users Discussing About Qlik Sense?